Comprehensive Meta-Analysis of Differentially Expressed Proteins in Cerebrospinal Fluid Associated with Multiple
Elif Sakiz1,2, Elnaz Amanzadeh Jajin3, Liza Cubeddu1
1School of Science, Western Sydney University, Sydney, NSW 2751, Australia.
International Journal of Molecular Sciences
|July 12, 2025
Summary
This meta-analysis identified 11 key proteins in cerebrospinal fluid (CSF) that could serve as biomarkers for multiple sclerosis (MS). The protein IGKC showed significant diagnostic potential, aiding in MS diagnosis.
Area of Science:
- Neuroscience
- Proteomics
- Biomarker Discovery
Background:
- Accurate protein biomarkers in cerebrospinal fluid (CSF) are crucial for understanding multiple sclerosis (MS).
- Previous MS proteomics studies show inconsistent results due to methodological variations.
Purpose of the Study:
- To conduct a meta-analysis of existing proteomics datasets to identify reliable protein biomarkers for MS.
- To overcome limitations of individual studies by integrating data from multiple sources.
Main Methods:
- A comprehensive literature search identified six relevant studies.
- Data from five CSF proteomics datasets were integrated for discovery and two for validation (368 MS patients and controls).
- Z-scores and logistic regression models were used for data analysis and biomarker validation.
Main Results:
- Eleven differentially expressed proteins were identified in the integrated MS dataset.
- These proteins are involved in immune response, neuroinflammation, and synaptic function.
- The protein IGKC demonstrated strong diagnostic potential with an AUROC of 0.81.
Conclusions:
- Re-analysis of public proteomics data can yield robust biomarker panels for MS diagnosis.
- The identified protein signature offers potential for improved MS diagnostic tools.
- Further validation is warranted to establish these proteins as clinical biomarkers.
